Table 3.

TAM's recent application (extended/modified).

References	Key results	Extended/Modified constructs
Pal and Patra (76)	Using the combined TAM and Task-Technology-Fit Model to understand video-based learning during the COVI-19 pandemic, it was shown that perceived ease of use (PEOU) influences perceived usefulness (PU) and attitude, and PU influenced attitudes and actual usage. Also, technology characteristics (TC) and individual characteristics(IC) influenced task-technology fit (TTF), and TTF impacted PU and PEOU.	Task-Technology-Fit, Technology characteristics, individual characteristics, gender, inequality
Lu and Deng (77)	Using an extended TAM it was demonstrated that the acceptance of intelligent surveillance systems is driven by job relevance, government action, training, and technical support. PU, PEOU, and cost savings positively impacted the intention to use, perceived risk showed a negative impact on the intention to use.	Subjective norm, job relevance, top management support Government action, Training, Technical support, Technology Anxiety, cost savings, and privacy risk
Ishfaq and Mengxing (78)	Using TAM to explore the internet-based services during the peak of the COVID-19 it was revealed that FC impacts PEOU but not PU, SI does not impact both PEOU and PU, TTF drives PU but not PEOU, PU does not influence attitude, but PEOU does, and attitude influences intention to use	Facilitating conditions (FC), social influence (SI), task technology fit
An et al. (79)	Applying an extended TAM to understand the factors driving the adoption of telehealth after the flattening of the COVID-19 curve in South Korea, it was validated that increased accessibility, enhanced care, and ease of use of telehealth showed a positive impact on the perceived usefulness of telehealth. Also perceived usefulness, ease of use, and privacy/discomfort influence the acceptance of telehealth. The anxiety of COVID-19 was linked with the acceptance of telehealth.	Increased accessibility, enhanced care, privacy and discomfort, anxiety about COVID-19
Tsai et al. (80)	Using TAM to explore the deployment of masks to comeback the COVID-19 in Taiwan showed that the intention to use was predicted by attitude toward use, perceived ease of use, perceived usefulness, health literacy, and privacy and security.	Health privacy, privacy, security, and computer self-efficacy
Huarng et al. (81)	Understanding the adoption of healthcare wearable devices using TAM showed that the intention to use was determined by higher data privacy, perceived ease of use, and reliable data. However economic burden reduces the intention to adopt healthcare wearable devices	Economic burden, data privacy